Shangling Jui

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 60

Top Topics

Reinforcement Learning

Domain Adaptation

Neural Architecture

Quality Assessment

Top Venues

Publications

Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Jian Yang, Joost van de Weijer
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. Int. J. Comput. Vis. 132 (2) (2024)
Zhichao Zhang, Xinyue Li, Wei Sun, Jun Jia, Xiongkuo Min, Zicheng Zhang, Chunyi Li, Zijian Chen, Puyi Wang, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Guangtao Zhai
Benchmarking AIGC Video Quality Assessment: A Dataset and Unified Model. CoRR (2024)
Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma
A Theory of Non-acyclic Generative Flow Networks. AAAI (2024)
Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang
Rethinking Optimization and Architecture for Tiny Language Models. CoRR (2024)
Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu
A General-Purpose Transferable Predictor for Neural Architecture Search. SDM (2023)
Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Shangling Jui, Lizhuang Ma
A Theory of Non-Acyclic Generative Flow Networks. CoRR (2023)
Boyu Chen, Hanxuan Chen, Jiao He, Fengyu Sun, Shangling Jui
Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping. CoRR (2023)
Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. AAAI (2023)
Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS (2023)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering. CoRR (2023)
Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Wei Lui, Shangling Jui, Di Niu
Reparameterization through Spatial Gradient Scaling. CoRR (2023)
Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu
Reparameterization through Spatial Gradient Scaling. ICLR (2023)
Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu
A General-Purpose Transferable Predictor for Neural Architecture Search. CoRR (2023)
Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations. ECML/PKDD (5) (2023)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Zicheng Zhang, Haoning Wu, Zhongpeng Ji, Chunyi Li, Erli Zhang, Wei Sun, Xiaohong Liu, Xiongkuo Min, Fengyu Sun, Shangling Jui, Weisi Lin, Guangtao Zhai
Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models. CoRR (2023)
Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui
AIO-P: Expanding Neural Performance Predictors beyond Image Classification. AAAI (2023)
Shiqi Yang, Yaxing Wang, Luis Herranz, Shangling Jui, Joost van de Weijer
Casting a BAIT for offline and online source-free domain adaptation. Comput. Vis. Image Underst. 234 (2023)
Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. NeurIPS (2022)
Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. BMVC (2022)
Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. CoRR (2022)
Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. ICLR (2022)
Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CVPR Workshops (2022)
Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. CoRR (2022)
Chao Gao, Jingwei Chen, Tong Mo, Tanvir Sajed, Shangling Jui, Min Qin, Laiyuan Gong, Wei Lu
A Memory-Bounded Best-First Beam Search and Its Application to Scheduling Halide Programs. SOCS (2022)
Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift. CoRR (2022)
Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. CoRR (2022)
Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification. CoRR (2022)
Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. CoRR (2022)
Shengyao Lu, Bang Liu, Keith G Mills, Shangling Jui, Di Niu
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR (2022)
Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability. AAAI (2022)
Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CIKM (2021)
Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CoRR (2021)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Generalized Source-free Domain Adaptation. ICCV (2021)
Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. CoRR (2021)
Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui
Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access 9 (2021)
Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. NeurIPS (2021)
Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CoRR (2021)
Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations. CoRR (2021)
Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui
Generative Adversarial Neural Architecture Search. CoRR (2021)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. NeurIPS (2021)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. CoRR (2021)
Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. CoRR (2021)
Chao Gao, Tong Mo, Taylor Zowtuk, Tanvir Sajed, Laiyuan Gong, Hanxuan Chen, Shangling Jui, Wei Lu
Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning. ICTAI (2021)
Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR (2021)
Xin Huang, Min Qin, Ruosheng Xu, Cheng Chen, Shangling Jui, Zhihao Ding, Pengyun Li, Yu Huang
Adaptive NN-based Root Cause Analysis in Volume Diagnosis for Yield Improvement. ITC (2021)
Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui
Generative Adversarial Neural Architecture Search. IJCAI (2021)
Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CIKM (2021)
Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CoRR (2021)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Generalized Source-free Domain Adaptation. CoRR (2021)
Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
Neural Architecture Search for Keyword Spotting. INTERSPEECH (2020)
Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan C. Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
Generative Feature Replay For Class-Incremental Learning. CoRR (2020)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Unsupervised Domain Adaptation without Source Data by Casting a BAIT. CoRR (2020)
Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan C. Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
Generative Feature Replay For Class-Incremental Learning. CVPR Workshops (2020)
Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
Neural Architecture Search For Keyword Spotting. CoRR (2020)
Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
Semantic Drift Compensation for Class-Incremental Learning. CVPR (2020)
Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
Semantic Drift Compensation for Class-Incremental Learning. CoRR (2020)
Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia
Deep Demosaicing for Edge Implementation. CoRR (2019)
Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia
Deep Demosaicing for Edge Implementation. ICIAR (1) (2019)
Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu
RNAS: Architecture Ranking for Powerful Networks. CoRR (2019)